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Remote Machine Learning Jobs in Venice, FL (NOW HIRING)

Remote Machine Learning information

See Venice, FL salary details

$24K

$40.1K

$82.8K

How much do remote machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote machine learning in Venice, FL is $40,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.
What are the most commonly searched types of Machine Learning jobs in Venice, FL? The most popular types of Machine Learning jobs in Venice, FL are:
What cities near Venice, FL are hiring for Remote Machine Learning jobs? Cities near Venice, FL with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Venice, FL as of May 2026, with employment types broken down into 8% Internship, 62% Full Time, 15% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,079 per year, or $19.3 per hour.
Senior Software Engineer - Semantic Layer and AI Interfaces

Senior Software Engineer - Semantic Layer and AI Interfaces

Nucleus Security

Sarasota, FL • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Senior Software Engineer – Semantic Layer and AI Interfaces
Are you looking for more in life than just building another web app? Does upending cyber security resonate with you? We're a rapidly expanding cybersecurity company revolutionizing vulnerability management for organizations of all sizes. For our customers, vulnerability management has always been a game of catch-up, with limited asset coverage and manual processes. Nucleus' primary mission is to create a fast, scalable platform that not only addresses these challenges but also makes vulnerability management simple, fun, and effortless. Currently, we're looking for a passionate Senior Software Engineer to join our growing team of engineers.
What You Will Do: 
  • Own the end-to-end lifecycle of AI-driven features—from prototyping and experimentation to production deployment and customer delivery
  • Design, build, and evolve our semantic data layer to enable scalable, high-quality AI and analytics use cases
  • Collaborate with engineering, product, and data teams to translate ambiguous requirements into robust technical solutions
  • Diagnose, triage, and resolve production issues quickly, ensuring reliability and continuous improvement of deployed systems
The following skills and experience are key to succeeding in this role
  • Strong background in data analytics, data science, and/or data warehousing.
  • Deep expertise in SQL, including performance optimization and complex query design.
  • Proficiency in Python or similar language for data processing and AI integration.
  • Experience working in a test-driven environment and writing unit and integration tests
  • Proven ability in technical troubleshooting.
  • Capable of working independently as well as collaboratively with teams across different time zones.
Preferred Qualifications: 
  • Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.) 
  • Experience with column store databases and columnar data, especially using SingleStore/MEMSQL
  • Experience integrating AI/LLM-driven features with data platform.
  • Familiarity with Agile/Scrum methodologies in a professional setting.
  • Experience maintaining applications on Linux platforms in cloud environments.
  • Experience with modern versions of PHP, and the Zend and Laminas Frameworks
  • Improve key components of the application to enable data scalability.

Why You Should Be Excited 
  • Nucleus is a truly unique solution that’s defining a market AND making an actual impact.  
  • We’re biased, but you will get to work with one of the best teams in security. We have a lot to get done and we work extremely hard, but we have fun in the process.  
  • Outstanding benefits
    • 401k company contribution (not a match, a contribution)
    • 100% company-paid healthcare options
    • Company HSA contribution on eligible insurance plans
    • 100% company-paid vision & dental
    • 100% company paid short term disability insurance
    • 100% company paid life insurance
    • Fully remote 
    • Flexible PTO
Salary Range $135,000 - $165,000 annually
 
Additional Information 
At Nucleus we are committed to achieving excellence in our field by combining diversity, collaboration, teamwork, and pride in our work. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or disability. 
 

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